Chunwei Tian

High cited papers (高被引论文)

• Tian C, Xu Y, Zuo W , Zhang B , Fei L , Lin C. Coarse-to-fine CNN for image super-resolution [J]. IEEE Transactions on Multimedia, 23, 1489-1502, 2021. [pdf][code][video](CCF B/SCI-IF:8.182) (ESI Highly cited paper)
• Tian C, Fei L, Zheng W, Xu Y, Zuo W, Lin C. Deep Learning on Image Denoising: An overview[J]. Neural Networks,131, 251-275, 2020. [pdf] (CCF B/SCI-IF:9.657) (ESI Highly cited paper)
• Tian C , Xu Y, Li Z , Zuo W, Fei L, Liu H. Attention-guided CNN for Image Denoising [J]. Neural Networks,124, 117-129 , 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （ESI Highly cited paper）
• Tian C, Xu Y, Zuo W. Image Denoising Using Deep CNN with Batch Renormalization [J]. Neural Networks, 121:461-473, 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （ESI Highly cited paper）

Homepage papers and excellent papers (首页论文和年度优秀论文)

• Tian C, Xu Y, Zuo W , Zhang B , Fei L , Lin C. Coarse-to-fine CNN for image super-resolution [J]. IEEE Transactions on Multimedia, 23, 1489-1502, 2021. [pdf][code] (CCF B/SCI-IF:8.182) (Homepage paper)
• Tian C, Fei L, Zheng W, Xu Y, Zuo W, Lin C. Deep Learning on Image Denoising: An overview[J]. Neural Networks,131, 251-275, 2020. [pdf] (CCF B/SCI-IF:9.657) (Homepage paper/Integrated by the iHub)
• Tian C , Xu Y, Li Z , Zuo W, Fei L, Liu H. Attention-guided CNN for Image Denoising [J]. Neural Networks,124, 117-129 , 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （Homepage paper）
• Tian C, Xu Y, Zuo W. Image Denoising Using Deep CNN with Batch Renormalization [J]. Neural Networks, 121:461-473, 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （Homepage paper）
• Tian C, Xu Y, et al. Enhanced CNN for image denoising [J]. CAAI Transaction on Intelligence Technology, 4(1), 17– 23, 2019. (SCI-IF: 7.985) [pdf] [code] (Excellent paper for 2018 and 2019/Integrated by the Profillic)
• Tian C, Xu Y, et al. Enhanced CNN for image denoising [J]. CAAI Transaction on Intelligence Technology, 4(1), 17– 23, 2019. (SCI-IF: 7.985) [pdf] [code] (Outstanding Paper of 2020)
• Tian C, Xu Y, et al. Enhanced CNN for image denoising [J]. CAAI Transaction on Intelligence Technology, 4(1), 17– 23, 2019. (SCI-IF: 7.985) [pdf] [code] (Top 10 Cited Papers in Journals 2021)
• Tian C, Xu Y, et al. Asymmetric CNN for image super-resolution [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022. (SCI-IF: 11.471) [pdf] [code](Excellent paper of Natural science of a city in 2022)

The most contributed code of 2020 by Github（GitHub 2020年具有贡献论文代码）

• Tian C, Xu Y, Zuo W. Image Denoising Using Deep CNN with Batch Renormalization [J]. Neural Networks, 121:461-473, 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （Papaer code was awarded as the most contributed code of 2020 by Github, the largest international open source code platform）
• Tian C , Xu Y, Li Z , Zuo W, Fei L, Liu H. Attention-guided CNN for Image Denoising [J]. Neural Networks,124, 117-129 , 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （Papaer code was awarded as the most contributed code of 2020 by Github, the largest international open source code platform）
• Tian C, Fei L, Zheng W, Xu Y, Zuo W, Lin C. Deep Learning on Image Denoising: An overview[J]. Neural Networks,131, 251-275, 2020. [pdf] (CCF B/SCI-IF:9.657) (Papaer code was awarded as the most contributed code of 2020 by Github, the largest international open source code platform)

Manifestation of paper techniques（论文落地技术）

• Tian C, Xu Y, Zuo W. Image Denoising Using Deep CNN with Batch Renormalization [J]. Neural Networks, 121:461-473, 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （The paper technology is invited to be integrated and run on iHub, a Chinese high quality AI platform affiliated with the National Laboratory (Pengcheng Lab)）
• Tian C, Xu Y, et al. Enhanced CNN for image denoising [J]. CAAI Transaction on Intelligence Technology, 4(1), 17– 23, 2019. (IF: 7.985) [pdf] [code] (EI) （The paper technology is invited to integrate and run on Profillic, an internationally renowned machine learning platform）
• Tian C, Y. Yuan, S. Zhang, C. Lin, W. Zuo, D. Zhang. Image Super-resolution with An Enhanced Group Convolutional Neural Network[J]. Neural Newworks, 2022. (CCF B/SCI-IF:9.657)[pdf] [code] (Open source security community OSCS collection)
• Tian C，Zhu G, Xu Y, Zuo W, Chen C, Lin C. Lightweight Image Super-Resolution with Enhanced CNN[J].Knowledge-based systems, 2020:106235. (CCF B/SCI-IF:8.139)[pdf] [code] （CoreML code of Apple ios system adapted to mobile terminals by Japanese engineers）
• Tian C，Xu Y, Li Z, Zuo W, Fei L, Liu H. Attention-guided CNN for Image Denoising[J]. Neural Networks, 124,117-129, 2020. (CCF B/SCI-IF:9.657)[pdf] [code] （The technology was purchased for commercial use by an American medical imaging company）

Journal papers (期刊论文)

• C. Tian, M. Zheng , W. Zuo, B. Zhang , Y. Zhang, D. Zhang. Multi-stage image denoising with the wavelet transform[J]. Pattern Recognition. 2022. (JCR Q1/SCI-IF:8.518)（Accepted）
• C. Tian, Y. Zhang, W. Zuo, C. Lin, D. Zhang, Y. Yuan. A heterogenous group CNN for image super-resolution [J]. IEEE Transactions on Neural Networks and Learning Systems. 2022.　(JCR Q1/ CCF B/SCI-IF:14.255）（reported by AlWalker）
• Tian C, Yuan Y, Zhang S, et al. Image Super-resolution with An Enhanced Group Convolutional Neural Network[J]. arXiv preprint arXiv:2205.14548, 2022. ( JCR Q1/CCF-B/SCI IF: 8.05)(Accepted )
• C. Tian, X. Zhang, J. Lin, W. Zuo, Y. Zhang. Generative adversarial networks for image super-resolution: a survey [J] . Generative adversarial networks for image super-resolution: a survey. arXiv:2204.13620. 2022.
• K. Huang, C. Tian*, J. Su, J. Lin. Transformer-based cross reference network for video salient object detection[J]. Pattern Recognition Letters. 2022( JCR Q1/CCF-C/SCI IF: 3.756)(Accepted)
• Q. Zhang, J. Xiao, C. Tian*, J. Lin, S. Zhang. A robust deformed CNN for image denoising[J]. CAAI Transactions on Intelligence Technology, 2022. (IF: 7.985) (Accepted)
• Zheng M, Zhi K, Zeng J, C. Tian*, et al. A Hybrid CNN for Image Denoising[J]. Journal of Artificial Intelligence and Technology, 2022.
• J. Song, J. Xiao, C. Tian*, Y. Hu, L. You, S. Zhang, A dual CNN for image super-resolution [J]. Electronics. 2022. (SCI 2.395) (Accepted)
• J. Xiao, J. Xu, C. Tian*, P Han, S. Zhang. A Serial Attention Frame for Multi-Label Waste Bottle Classification[J]. Applied Sciences, 2022.(JCR Q2/SCI-IF 2.679)(Accepted)
• L. Zhu, C. Zhang, J. Song, S. Zhang, C. Tian, X. Zhu. Deep Mult-Graph Hierarchical Enhanced Semantic Representation for Cross-Modal Retrieval [J]. IEEE Multimedia, 2021. (SCI 5.622) (Accepted)
• Wang T, Liu Y, Yin Q, Geng J, Chen J, Yin X, Wang Y, Shang X, Tian C*, Wang Y*， Peng J*, Enhancing discoveries of molecular QTL stuides with small smaple size using summary statistic imputation [J]. Briefings in Bioinformatics, 2021. (SCI-IF:11.622) (Accepted)
• Zhang H, Tian C*, You L, Li Z, Zong M, Design and Implementation on Matching between Music and Color [J]. Multimedia Tools and Applications, 2021. (CCF C/SCI-IF:2.757) (Accepted)
• Tian C, Xu Y, Zuo W , Zhang B , Fei L , Lin C. Coarse-to-fine CNN for image super-resolution [J]. IEEE Transactions on Multimedia, 23, 1489-1502, 2021. [pdf][code] (CCF B/SCI-IF:8.182) (ESI Homepage paper)
• J. Qin, L. Fei, J. Zhu, J. Wen, C. Tian, S. Wu. Scalable Discriminative Discrete Hashing For Large-scale Cross-model Retrieval [J]. 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021，4330-4334, 2021. (EI/CCF B)
• Fei L, Zhang B, Xu Y, Tian C, Rida I, Zhang D. Jointly Heterogeneous Palmprint Discriminant Feature Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021. [pdf] (CCF B/SCI-IF:14.255)
• Tian C, Xu Y, Zuo W, Du B, Lin C, Zhang D. Designing and Training of A Dual CNN for Image Denoising [J]. Knowledge-Based Systems, 226:106949, 2021. [pdf][code] (CCF C/SCI-IF:8.139)
• Tian C, Xu Y, Zuo W, Lin C, Zhang D. Asymmetric CNN for image super-resolution [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021. (SCI-IF:13.451)[pdf][code] (Accepted in 2021)(Acceptance rate of 10%)
• Fel L, Zhang B, Tian C, Teng S, Wen J. Jointly Learning Multi-instance Hand-based Biometric Descriptor[J]. Information Sciences, 562:1-12, 2021. (CCF B/SCI-IF:6.795) [pdf]
• Tian C, Fei L, Zheng W, Xu Y, Zuo W, Lin C. Deep Learning on Image Denoising: An overview[J]. Neural Networks,131, 251-275, 2020. [pdf] (CCF B/SCI-IF:9.657) (ESI Homepage paper)
• Tian C, Zhu G, Wu Z, Xu Y, Zuo W, Chen C, Lin C. Lightweight Image Super-Resolution with Enhanced CNN[J]. Knowledge-Based Systems, 205:106235, 2020. [pdf][code][video](CCF C/SCI-IF:8.038)
• Tian C , Xu Y, Li Z , Zuo W, Fei L, Liu H. Attention-guided CNN for Image Denoising [J]. Neural Networks,124, 117-129 , 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （ESI Highly cited paper/Homepage paper）
• Tian C, Xu Y, Zuo W. Image Denoising Using Deep CNN with Batch Renormalization [J]. Neural Networks, 121:461-473, 2020. [pdf] [code] (CCF B/SCI-IF:9.657) （ESI Highly cited paper/Homepage paper）
• Tian C, Xu Y, et al. Enhanced CNN for image denoising [J]. CAAI Transaction on Intelligence Technology, 4(1), 17– 23, 2019.(IF: 7.985) [pdf] [code] (EI) （Best paper）
• Xu Y, Li Z, Tian C, Yang J. Multiple vector representations of images and robust dictionary learning[J]. Pattern Recognition Letters, 2019, 128: 131-136. [pdf] (CCF C/ SCI-IF:3.756)
• Wen J, Fang X, Xu Y, Tian C, Lun F. Low-rank representation with adative graph regularization[J]. Neural Networks, 2018, 108: 83-96. [pdf] [code] (CCF B/SCI-IF:8.05)
• Tian C, Zhang Q, Sun G, et al. FFT Consolidated Sparse and Collaborative Representation for Image Classification[J]. Arabian Journal for Science and Engineering, 2018, 43(2): 741-758. (SCI-IF:2.334)
• Qin Y, Tian C. Weighted Feature Space Representation with Kernel for Image Classification[J]. Arabian Journal for Science and Engineering, 2018,43(12) :7113-7125. (SCI-IF:2.334)
• Tian C, Sun G, Zhang Q, et al. Integrating Sparse and Collaborative Representation Classifications for Image Classification[J]. International Journal of Image and Graphics, 2017, 17(02): 1750007.
• Tian C, Zhang Q, Zhang J, et al. 2D-PCA Representation and Sparse Representation for Image Recognition[J]. Journal of Computational and Theoretical Nanoscience, 2017, 14(1): 829-834.
• Tian C, Zhang Q, Sun G, et al. Weighted Nearest Neighbor Algorithm and Collaborative Representation for Image Classification[J]. Journal of Computational and Theoretical Nanoscience, 2016, 13(12): 9065-9070.
• Zhang C, Gao X, Mohanmed O, Zhao R, Tong J, Tian C, Hu C. Research and Implementation of RGB-LED Mixed Light Matching along with Music Playing [J]. International Journal of Grid and Distributed Computing, 9(4):111-120.
• Wang W, Yu Z, Tian C. An Analysis Algorithm of Pipe Burst in Water Supply Network and Its Implementation Based on GIS Components[J]. Journal of Harbin University of Science & Technology, 2015, 20(4).
• Zhang H, Tian C , Lin G. Implementation of a Wireless Controlled Device with RGB Driving based on FFT[J]. International Journal of Multimedia and Ubiquitous Engineering, 2013, 8(6): 151-158. (EI)
• Li D, Tian C, Li B, Sun G, K J. Network Traffic Classificaion Based on Subspace Clustering-based Method[J]. Journal of Harbin Unversity of Science & Technology, 2015, 20(2):63-68.
• Zhang H, Tian C, Lin G. Design and Implementation of Mixed Light Effect Based on the Audio Signal Spectrum Analysis[J]. Journal of Harbin Unversity of Science & Technology, 2013.

Conference papers (会议论文)

• M. Zheng, K. Zhi, J. Zeng, C. Tian*, L. You. A hybrid CNN for image denoising [J]. Journal of Artificial Intelligence and Technology, 2022. (Accepted)
• P. Wu, L. Fei, S. Li, C. Tian, B. Zhang, S. Teng. Towards pen-holding hand pose estimation a new benchmark and a coarse-to-fine PHHP estimation network[C]. ICASSP 2022. (Accepted)
• T. Wang, Y. Wang, Z. Shao, H. Yang, S. Peng, X. Yin, Y. Zhang, X. Shang, C. Tian. J. Peng. Discovering eQTL Regulatory Patterns in Human Frontal Cortex Through eQTMotif [C]. The 20th International Conference on Bioinformatics (INCOB 2021) (EI). (Accepted)
• M. Zheng, J. Xu, Y. Shen, C. Tian*, J. Li, L. Fei, M. Zong, X. Liu. Attention-based CNNs for image classification: A Survey[C]. The 2nd International Conference on Computer, Big Data and Artificial Intelligence (ICCBDAI 2021)], (EI/Oral paper) (Accepted)
• Y. Deng, L. Fei, S. Zhao, W. Jia, J. Wen, C. Tian. Joint Multi-feature Learning for Facical Age Estimation [C]. The 6th Asian Conference on Pattern Recognition(ACPR 2021). (EI)(Accepted)
• Fei L, Teng S, Wen J, Tian C, Liu D, Zhang W. Jointly Learning Compact Multi-instance FKP Descriptor [C]. International Joint Conference on Biometrics (IJCB), 2020. (EI-CCF C)
• Fei L, Zhang B, Wen J, Tian C, Liu P, Zhao S. Joint Learning Multiple Curvature Descriptor for 3D Palmprint Recognition [C]//ICPR, 2020. [pdf] (EI-CCF C)
• Fei L, Zhang B, Teng S, Gan Z, Tian C, Zhang W. Learning Discriminative Finger-knuckle-print Descriptor[C]// ICASSP 2019 :2137-2141. [pdf] (EI-CCF B)
• Tian C, Xu Y, Fei L, Yan K. Deep Learning for Image Processing: A Survey[C]// The 12th International Conference on Genetic and Evolutionary Computing (ICGEC2018).2018: 563-572, Changzhou. [pdf] (EI)
• Dong J, Tian C, Xu Y. Face liveness detection using color gradient features[C]//Security, Pattern Analysis, and Cybernetics (SPAC), 2017 International Conference on. IEEE, 2017: 377-382. (EI)
• Fei L, Teng S, Wu J , Xu Y , Wen J, Tian C. Combining Enhanced Competitive Code with Compacted ST for 3D Palmprint Recognition //The 4th Asian Conference on Pattern Recognition (ACPR 2017) (EI-CCF C)
• Tian C, Sun G , Zhu S, et al. WeChat identification based on network traffic characteristics [C]//Information Science and Electronic Engineering: Proceedings of the 3rd International Conference of Electronic Engineering and Information Science (ICEEIS 2016), January 4-5, 2016, Harbin, China. CRC Press, 2016: 319. (EI)
• Tian C, Zhang Q, Sun G, et al. Linear discriminant analysis representation and CRC representation for image classification[C]//Computer and Communications (ICCC), 2016 2nd IEEE International Conference on. IEEE, 2016: 755-760. (EI)
• Tian C, Zhang Q, Sun G. Multiple methods for wechat identification[C]//International Conference on Advanced Design and Manufacturing Engineering. 2016. (EI)
• Zhang H, Zhao R, Tian C. Design and Implementation of the Music Player Based on Interface Chip CH378[C]//2015 Seventh International Conference on Advanced Communication and Networking (ACN). IEEE, 2015: 40-43. (EI)

Patents (专利)

1. Tian C, Xu Y. A method and system based neural network for image denoising. Chinese invention patent. 2021. ZL201810063893.2(Authorized)
2. Tian C, Xu Y. Image restoration methodm, storage medium and system based on an enhanced neural network. Chinese invention patent. 2021. ZL201810803674.3 (Authorized)
3. Tian C, Yuan Y. A denoising model and its establishment method and device, image denoising method and device. Chinese invention patent, 2021. 202111112423.9. (Accepted)
4. Tian C, Zheng M, Zhang X, A method and system based improved ** image blind denoising, 2021.
5. Tian C, Ma Y, Zhang X, Zhang Y. A method based enhancement **blind image denoising, 2021.202210032943.7. (Accepted)
6. Tian C, Xu Y. System based on ** fire risk assessment, 2021. 202210163285.5. (Accepted)
7. Xiao J, Tian C, Zhang C, Zhang S. Deformable Convolution Neural Network For Image Denoising. Chinese invention patent, 2021. 202111039510.6. (Accepted)
8. Hu Y, Tian C, Zhang C, Zhang S. A **Image Denoising Method, 2022, Patent of Invention. (Applying)
9. Tian C, Xu Y, Wen J, Wu J, Liu C. Image denoising method, device, equipment and storagemedium basded on deep learning. Chinese invention patent. 2019. 201811338660.5.

Software Copyright (软著)

1. Zhi K, Tian C, An Image denoising method based on Convolutional Neural Network, 2022.
2. Jiao T, Tian C, A self-supervised convolutional neural network based image watermarking system, 2022.
3. Fu Y, Tian C. Dark light image enhancement algorithm based on Retinex model. Software Copyright. 2022.
4. Fu Y, Tian C. Dark light image enhancement algorithm based on residual dense network. Software Copyright. 2022.
5. Ma Y, Zhang X, Li J, Tian C. Intelligent tracking control system. Software Copyright. 2021.
6. Ma Y, Zheng M, Yang D, Tian C. Intelligent vehicle control system. Software Copyright. 2021.
7. Zheng M, Zhang X, Ma Y, Tian C. Cruise detection fruit mobile robot system . Software Copyright. 2021.
8. Zhang X, Ma Y, Yang D, Tian C. Hotel background management system. Software copyright. 2021.
9. Zhang X, Shi B, Zheng M, Tian C. Office-assistant system. Software copyright. 2021.
10. Tian C, Sun G. Face recognition system. Software Copyright.
11. Tian C, Sun G. Wechat identification software. Software Copyright.
12. Tian C, Sun G. Network traffic classification software. Software Copyright.
13. Sun G, Tian C. Network traffic monitoring system. Software Copyright.

Projects (项目)

1. 2023.01- National Natural Science Foundation of China.
2. 2022.09- **Provincial High-Level Talent Program.
3. 2022.07- **Project.
4. 2022.07- **Project.
5. 2022.05- **Project.
6. 2022.01-2023.12 **Project.
7. 2022.01-2022.12 **Young Science and Technology Talent Program.
8. 2022.03-2022.12, **Project.
9. 2021.10-2023.09, Ministry of Education Industry-University-Research Cooperation Collaborative Education Program.
10. 2021.10-2024.09 **Province Youth Fund Project.
11. 2021- Shaanxi Virtual Teaching and Research Office construction project.
12. 2021- Ministry of Education industry-University-Research Project.
13. 2021.09-2024.08 The Fundamental Research Funds for the Central Universities.
14. 2021.09- , Research on intelligent ** method.
15. 2021.09-2023.08, ** Technology Project
16. 2019.01-2022.12 National Nature ScienceFoundation of China Gant No. 61876051.
17. 2020.01-2021.12 ShenzhenKey Laboratory of Visual Object Detection and Recognition under Grant No. ZDSYS20190902093015527.
18. 2019.08-2022.08 Shenzhen Science and technology innovation Commission under Grant No. JSGG20190220153602271.
19. 2016.1-2017.02 National Natural Science Foundation of China Youth Fund funded projects (61502123)—Research on Multi-core program complicating error elimination method.
20. 2015.7-2015.12 Heilongjiang Science Foundation Project (QC2015084)—Research based on Multi-core processor fault diagnosis method of deterministic repetition.
21. 2013.12-2015.07 The Cooperation Project of Harbin University of Science and Technology and Beijing Aerospace System Engineering Research—The implementations and design of network flow classification.
22. 2012.04-2013.10 The Innovative Project of Undergraduate of Heilongjiang Province—The implementations and design of network down-hole monitoring system.